Triple
T21270496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Destination 2 |
E524242
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Officer Thomas Burke |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Officer Thomas Burke | Statement: [Final Destination 2, hasMainCharacter, Officer Thomas Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Officer Thomas Burke Context triple: [Final Destination 2, hasMainCharacter, Officer Thomas Burke]
-
A.
Officer Francis Muldoon
Officer Francis Muldoon is a bumbling yet well-meaning New York City police officer character from the 1960s television sitcom "Car 54, Where Are You?"
-
B.
Officer John Hunton
Officer John Hunton is the main police detective protagonist in the 1995 horror film "The Mangler," who investigates a series of gruesome deaths linked to a possessed industrial laundry machine.
-
C.
Officer Frank Smith
Officer Frank Smith is a fictional Los Angeles police officer who serves as Sergeant Joe Friday’s partner in the classic American crime drama series "Dragnet."
-
D.
Officer Tom Turcotte
Officer Tom Turcotte is a fictional police officer featured as a character in the television drama series "Boomtown."
-
E.
Officer Bill Gannon
Officer Bill Gannon is a fictional Los Angeles police officer and Joe Friday’s partner on the television series "Dragnet," portrayed by actor Harry Morgan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Officer Thomas Burke Target entity description: Officer Thomas Burke is a central character in the horror film "Final Destination 2," a police officer who becomes entangled in a deadly chain of premonitions and fatal accidents.
-
A.
Officer Francis Muldoon
Officer Francis Muldoon is a bumbling yet well-meaning New York City police officer character from the 1960s television sitcom "Car 54, Where Are You?"
-
B.
Officer John Hunton
Officer John Hunton is the main police detective protagonist in the 1995 horror film "The Mangler," who investigates a series of gruesome deaths linked to a possessed industrial laundry machine.
-
C.
Officer Frank Smith
Officer Frank Smith is a fictional Los Angeles police officer who serves as Sergeant Joe Friday’s partner in the classic American crime drama series "Dragnet."
-
D.
Officer Tom Turcotte
Officer Tom Turcotte is a fictional police officer featured as a character in the television drama series "Boomtown."
-
E.
Officer Bill Gannon
Officer Bill Gannon is a fictional Los Angeles police officer and Joe Friday’s partner on the television series "Dragnet," portrayed by actor Harry Morgan.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651c9208190a87d45acd6fafaaa |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.